• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.108-110
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• 2021

Since 2015, attacks using the IoT protocol have been continuously reported. Among various IoT protocols, attackers attempt DDoS attacks using SSDP(Simple Service Discovery Protocol), and as statistics of cyber shelters, Korea has about 1 million open SSDP servers. Vulnerable SSDP servers connected to the Internet can generate more than 50Gb of traffic and the risk of attack increases gradually. Until recently, distributed denial of service attacks and distributed reflective denial of service attacks have been a security issue. Accordingly, the purpose of this study is to analyze the request packet of the existing SSDP protocol to identify an amplification attack and to avoid a response when an amplification attack is suspected, thereby preventing network load due to the occurrence of a large number of response packets due to the role of traffic reflection amplification.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1320-1326
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• 2011

National institutions on the importance of information security is being recognized, information security laws are being discussed in Congress 3.4 DDoS incident and Nonghyup hacking, etc. However, National Assembly Secretariat when the results of the Information Security Consulting has been assessed very low 61.2 points, evaluation of hardware and software in secure areas were vulnerable. This paper, the legislative support agencies National Assembly and National Assembly Secretariat on the network and computer systems, and managerial, technical and physical security elements are analyzed for the status. And network should have the legislative support agencies and system for the physical network separation, DDoS attack response, Virus attack response, hacking attacks response, and Cyber Emergency Response Team/Coordination Center for Cyber infringing design and research through the confidentiality, integrity, availability, access control, authentication and security analysis is based on the evaluation criteria. Through this study, the legislative support agencies to strengthen the security of data and security laws enacted to provide the basis for.

• Electronics and Telecommunications Trends
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• v.31 no.6
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• pp.77-87
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• 2016

최근 지능화된 DDoS 공격 추세를 반영하여 DRDoS 및 HTTP GET flooding 공격을 네트워크 내 탐지 포인터에서 검출할 수 있는 방법을 살펴본다. DRDoS 공격은 해커들이 스푸핑 된 IP 주소를 사용하기 때문에 기본적으로 은닉형 공격자로 판단할 수 있다. HTTP GET flooding 공격은 해커의 제어 하에 실제적으로 IP 주소를 위장하여 공격을 시도하는 좀비 PC를 검출하는 것도 중요하지만 좀비 PC를 제어하는 C&C 서버로의 통신 채널을 탐지 및 차단하는 것과 C&C 서버에 접근하는 해커를 추적하는 것이 더 원론적인 방어전략이 될 수 있으며 관련 은닉형 DDoS 공격에 대한 국내외 기술개발 동향 및 대응 기술 추세에 대해서 살펴본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1287-1290
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• 2004

인터넷의 급속한 발전은 지난 수년간 데이터 전송 속도의 고속화, 대용량의 데이터 전송 등을 가져오는 긍정적인 효과를 거두었지만 컴퓨터 시스템의 보안 침해 사고와 같은 역기능 또한 날로 증대되어 그 피해 규모가 점점 심각해지고 있다. 본 논문에서는 IDS의 제어 아래 통계적인 탐지 알고리즘을 이용하여 분산 서비스 거부(DDoS) 공격에 대응할 수 있는 패킷 필터링 구조를 제안한다. 이 구조는 탐지 알고리즘에 의해 DDoS 공격으로 인식된 패킷을 IDS가 탐지하여 필터링 모듈에서 효과적으로 공격을 막을 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.996-998
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• 2011

인터넷의 발전과 더불어 네트워크 상에서의 침입 시도가 갈수록 증가되고 다변화되고 있으며, 특히, 네트워크나 서버의 가용성을 위협하는 형태의 서비스 거부(DoS: Denial of Servie) 공격이 최근 급증하고 있다. 따라서, 본 논문에서는 인터넷 서버의 정상적인 서비스 제공을 방해하는 형태의 분산 서비스 거부(DDoS: Distributed Denial of Service) 공격으로부터 서버를 보호하고 원활한 서비스를 제공하기 위한 Secure-NIC 시스템의 설계 및 구현에 대해서 설명한다. 이는 "CISGDP : CPU-Independent Service Guaranteed DDoS Protection" 이라는 설계 개념하에서, 각종 인터넷 서버에 장착되어 DDoS 공격 등의 네트워크 공격에 대하여 서버의 고유 서비스가 지속적으로 보장될 수 있도록 자체 보안 기능을 NIC(Network Interface Card) 형태로 제공한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.2B
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• pp.162-169
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• 2009

Message Authentication Code (MAC) assures integrity of messages. In Mobile WiMAX, 128-bit Cipher-based MAC (CMAC) is calculated for management messages but only the least significant half is actually used truncating the most significant 64 bits. Naming these unused most significant 64bits Shared Authentication Information (SAI), we suggest that SAI can be applied to protect the network from DDoS attack which exploits idle mode vulnerabilities. Since SAI is the unused half of CMAC, it is as secure as 64bits of CMAC and no additional calculations are needed to obtain it. Moreover, SAI doesn't have to be exchanged through air interface and shared only among MS, BS, and ASN Gateway. With these good properties, SAI can efficiently reduce the overheads of BS and ASN GW under the DDoS attack.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.5
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• pp.1726-1743
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• 2014

DDoS (Distributed Denial of Service) has been a continuous threat to the cyber world with the growth in cyber technology. This technical evolution has given rise to a number of ultra-sophisticated ways for the attackers to perform their DDoS attack. In general, the attackers who generate the denial of service, use the vulnerabilities of the TCP. Some of the vulnerabilities like SYN (synchronization) flooding, and IP spoofing are used by the attacker to create these Distributed Reflected Denial of Service (DrDoS) attacks. An attacker, with the assistance of IP spoofing creates a number of attack packets, which reflects the flooded packets to an attacker's intended victim system, known as the primary target. The proposed scheme, Efficient Spoofed Flooding Defense (ESFD) provides two level checks which, consist of probing and non-repudiation, before allocating a service to the clients. The probing is used to determine the availability of the requested client. Non-repudiation is taken care of by the timestamp enabled in the packet, which is our major contribution. The real time experimental results showed the efficiency of our proposed ESFD scheme, by increasing the performance of the CPU up to 40%, the memory up to 52% and the network bandwidth up to 67%. This proves the fact that the proposed ESFD scheme is fast and efficient, negating the impact on the network, victim and primary target.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5256-5262
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• 2014

Recently, Distributed Denial of Service (DDoS) attacks, such as spreading malicious code, cyber-terrorism, have occurred in government agencies, the press and the financial sector. DDoS attacks are the simplest Internet-based infringement attacks techniques that have fatal consequences. DDoS attacks have caused bandwidth consumption at the network layer. These attacks are difficult to detect defend against because the attack packets are not significantly different from normal traffic. Abnormal traffic is threatening the stability of the network. Therefore, the abnormal traffic by generating indications will need to be detected in advance. This study examined the abnormal traffic detection technique using a forecasting model-based trend model.

• The KIPS Transactions:PartC
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• v.15C no.5
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• pp.351-358
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• 2008

Recently, as network flooding attacks such as DoS/DDoS and Internet Worm have posed devastating threats to network services, rapid detection and proper response mechanisms are the major concern for secure and reliable network services. However, most of the current Intrusion Detection Systems(IDSs) focus on detail analysis of packet data, which results in late detection and a high system burden to cope with high-speed network environment. In this paper we propose a lightweight and fast detection mechanism for traffic flooding attacks. Firstly, we use SNMP MIB statistical data gathered from SNMP agents, instead of raw packet data from network links. Secondly, we use a machine learning approach based on a Support Vector Machine(SVM) for attack classification. Using MIB and SVM, we achieved fast detection with high accuracy, the minimization of the system burden, and extendibility for system deployment. The proposed mechanism is constructed in a hierarchical structure, which first distinguishes attack traffic from normal traffic and then determines the type of attacks in detail. Using MIB data sets collected from real experiments involving a DDoS attack, we validate the possibility of our approaches. It is shown that network attacks are detected with high efficiency, and classified with low false alarms.

• Journal of Industrial Technology
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• v.27 no.B
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• pp.77-82
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• 2007

A novel DDoS (Distributed Denial-of-Service) defense technique, Exaustiveness-Based Detection, is proposed in this work. It dispenses with the network congestion and the unfairness between users of the Defense-by-Offense technique by incorporating a kind of simple Detect-and-Block scheme (user identification), still improving the effectiveness of the defense in comparison to the original Defense-by-Offense technique. It uses SYN cookies to identify users in the granularity of ip address and to prevent ip address spoofing by the attacker. There can be, however, some probability of false negative (denying service to good clients), if the attacker wisely adapt to the new technique by saving some portion of its bandwidth resource and later mimicking good clients. Quantitative analysis the requirement for the good clients to be safe from the false negative is provided and a procedure to design the server capacity is explained.